频数 (Analysis)
摘要
读取表和一组字段,并创建一个包含唯一字段值以及各唯一字段值所出现次数的新表。
用法
-
输出表将包含字段 Frequency 以及输入所指定的频数字段和汇总字段。
-
输出表将包含所指定频数字段的所有属性值组合的频数计算(结果)。
-
如果指定了汇总字段,则频数计算结果的唯一属性值将由每个汇总字段的数值型属性值进行汇总。
-
使用图层时,仅使用图层中当前所选的要素进行计算。
语法
Frequency_analysis (in_table, out_table, frequency_fields, {summary_fields})
参数 | 说明 | 数据类型 |
in_table |
表中包含将用于计算频数统计值的字段。该表可以是 INFO 或 OLE DB 表、dBASE 或 VPF 表或者是要素类表。 | Table View; Raster Layer |
out_table |
用于存储所计算的频数统计值的表。 | Table |
frequency_fields [frequency_fields,...] |
将用于计算频数统计值的属性字段。 | Field |
summary_fields [summary_fields,...] (可选) |
进行求和或添加到输出表的属性字段。空值被排除在此计算之外。 | Field |
代码实例
频数 (Frequency) 示例(Python 窗口)
以下 Python 窗口脚本演示了如何在即时模式下使用频数 (Frequency) 函数。
import arcpy
arcpy.env.workspace = "C:/data/Portland.gdb/Taxlots"
arcpy.Frequency_analysis("taxlots",
"C:/output/output.gdb/tax_frequency",
["YEARBUILT", "COUNTY"],
["LANDVAL", "BLDGVAL", "TOTALVAL"])
频数 (Frequency) 示例 2(独立脚本)
以下独立脚本演示了如何使用 Frequency 函数。
# Name: Frequency_Example2.py
# Description: Run Frequency on a table
# Import system modules
import arcpy
# Set environment settings
arcpy.env.workspace = "C:/data/Portland.gdb/Taxlots"
# Set local variables
inTable = "taxlots"
outTable = "C:/output/output.gdb/tax_frequency"
frequencyFields = ["YEARBUILT", "COUNTY"]
summaryFields = ["LANDVAL", "BLDGVAL", "TOTALVAL"]
# Execute Frequency
arcpy.Frequency_analysis(inTable, outTable, frequencyFields, summaryFields)
频数 (Frequency) 示例 3(独立脚本)
以下独立脚本演示了如何使用多个地理处理脚本函数(包括 Frequency 函数)。
# Name: Frequency_Example3.py
# Description: Break all multipart features into singlepart features,
# and generate a report of which features were separated.
# Import system modules
import arcpy
# Create variables for the input and output feature classes
inFeatureClass = "c:/data/gdb.gdb/vegetation"
outFeatureClass = "c:/data/gdb.gdb/vegetation_singlepart"
try:
# Create list of all fields in inFeatureClass
fieldNameList = [field.name for field in arcpy.ListFields(inFeatureClass)]
# Add a field to the input this will be used as a unique identifier
arcpy.AddField_management(inFeatureClass, "tmpUID", "double")
# Determine what the name of the Object ID is
OIDFieldName = arcpy.Describe(inFeatureClass).OIDFieldName
# Calculate the tmpUID to the OID
arcpy.CalculateField_management(inFeatureClass, "tmpUID",
"[" + OIDFieldName + "]")
# Run the tool to create a new fc with only singlepart features
arcpy.MultipartToSinglepart_management(inFeatureClass, outFeatureClass)
# Check if there is a different number of features in the output
# than there was in the input
inCount = int(arcpy.GetCount_management(inFeatureClass).getOutput(0))
outCount = int(arcpy.GetCount_management(outFeatureClass).getOutput(0))
if inCount != outCount:
# If there is a difference, print out the FID of the input
# features which were multipart
arcpy.Frequency_analysis(outFeatureClass,
outFeatureClass + "_freq", "tmpUID")
# Use a search cursor to go through the table, and print the tmpUID
print("Multipart features from {0}".format(inFeatureClass))
for row in arcpy.da.SearchCursor(outFeatureClass + "_freq",
["tmpUID"], "FREQUENCY > 1"):
print int(row[0])
else:
print("No multipart features were found")
except arcpy.ExecuteError:
print(arcpy.GetMessages())
except Exception as e:
print(e)
相关主题
许可信息
ArcGIS for Desktop Basic: 否
ArcGIS for Desktop Standard: 否
ArcGIS for Desktop Advanced: 是
5/10/2014